Published by the consulting team at SCM Champs — based on patterns observed across warehouse operations and SAP EWM implementations.
The Problem — And Every Warehouse Leader Will Recognize It
In most warehouses, the story starts the same way.
A key account calls the sales head: “You shipped us 40 cartons of the wrong SKU. Again.” And it’s always that last word — again — that stings the most. Because it means everyone already knows this isn’t the first time. And deep down, everyone suspects it won’t be the last.
So the warehouse does what warehouses everywhere do. Retrain the pickers. Put up posters. Add a second-person check at the packing station. Run a “zero error week” campaign pizza for the best shift. And for two weeks, the numbers genuinely improve.
Then they creep right back.
Wrong SKU picked from a neighboring bin. Right SKU, wrong quantity. Right item, wrong batch — a nightmare for anyone handling pharma, food, or anything expiry-sensitive. Full pallets sent to the wrong staging lane. Every morning brings a fresh list of mispicks, and every morning the operations manager has the same two conversations: one with customer service asking what happened, and one with the best pickers on the floor — who are tired of being blamed for a problem they swear isn’t theirs.
Here’s the uncomfortable truth that takes most warehouse leaders far too long to admit: the pickers are usually right.
Pickers, in most warehouses, aren’t careless. They’re working inside a system that makes errors easy. Walk through a typical operation and you’ll find the same gaps, again and again:
- The RF picking flow doesn’t verify anything. No barcode validation on the bin, none on the product. The screen simply trusts whatever the picker grabbed.
- Look-alike SKUs sit in neighboring bins, because nobody has reviewed the putaway strategy since go-live — sometimes years ago.
- Pick paths zigzag so badly through the aisles that pickers invent shortcuts just to hit their targets. And shortcuts are where errors are born.
- Batch and expiry checks exist on paper — in the SOP binder — but not inside the RF transaction where the work actually happens.
- There’s no exception handling anywhere in the flow. So when an error happens, the first person to catch it is the customer.
For years, most operations treat picking errors as a discipline problem. Retrain. Warn. Reward. Repeat. The cycle continues because the diagnosis is wrong.
You can’t train your way out of a system that doesn’t verify anything.
The Real Impact — What Picking Errors Actually Cost
Here’s an exercise worth doing before reading further: take one quarter, and put a real number on every single error. Most leaders who do this discover they’ve been underestimating the damage — badly.
Consider a warehouse running 28,000 order lines a day with an error rate of 1.2%. On paper, 1.2% sounds “acceptable.” In reality, it means over 300 mispicks every single day. And every one of them triggers a chain: return freight, re-shipping, replacement stock, credit notes, and 20–40 minutes of investigation time per incident.
For operations serving organized retail, chargebacks alone can run into crores per year — not for missing stock, but for wrong stock, delivered perfectly on time.
Then there’s the hidden headcount. In many warehouses, one or two full-time employees end up doing nothing but investigating errors and processing returns. That’s not a quality team. That’s an error tax.
And the costs nobody puts in a spreadsheet are usually the biggest ones. Key accounts quietly move volume to competitors “to de-risk supply.” The best pickers — the ones being blamed — start leaving. Each replacement takes 6–8 weeks to reach full speed, and new pickers make more errors, not fewer. The warehouse ends up running in a circle.
The brutal math every warehouse leader should know: a mispick doesn’t cost you the item. It typically costs 8–15x the picking cost of that line — once you add freight, labor, investigation, chargebacks, and the slow erosion of customer trust.
Worst of all, every rupee of it is recurring — because the spending goes into treating the symptom (the picker) instead of the system that allowed the error.
The turning point, in every warehouse that eventually fixes this, is the same. Leadership stops asking “who made this error?” and starts asking the only question that matters:
“Why did our system allow it?”
The Solution — Fixing the System That Makes Errors Easy
Most leaders expect the answer to be new hardware — better scanners, a vision system, maybe automation. Usually, it isn’t. The answer sits inside the warehouse management system that’s already there, configured in ways nobody has questioned since go-live.
When our team at SCM Champs runs picking accuracy diagnostics — spending time on the floor across shifts and inside the SAP EWM configuration, tracing each error back to its birthplace — the finding is remarkably consistent: of the top 10 error causes in a typical warehouse, eight or nine are system design gaps. Only one or two are genuinely human.
Which means the fix isn’t discipline. It’s design. Here’s what fixing the system actually looks like, layer by layer:
1. RF flow validation — errors blocked at the source. Redesign RF picking transactions so the system verifies instead of trusts: mandatory barcode scan of the source bin, then the product, then quantity confirmation — with batch validation built into the flow for batch-managed SKUs. Done properly, a picker physically cannot confirm a warehouse task with the wrong item. The error dies at the bin, not at the customer.
2. Slotting and putaway strategy redesign. Look-alike and sound-alike SKUs sitting in neighboring bins is an accident scheduled to happen daily. Rebuilding storage type search strategies and putaway rules separates risky products physically, places fast-movers in golden-zone locations, and — critically — turns slotting into a living process that gets reviewed regularly, not a go-live leftover.
3. Pick path and warehouse order optimization. Reworking warehouse order creation rules and bin sequencing makes pick paths flow logically through the aisles. When pickers stop zigzagging, they stop inventing shortcuts — and shortcut-driven errors disappear, because the shortcut is no longer faster than the system’s path.
4. Exception handling that catches errors before shipping. Configuring exception codes and process-oriented storage control (POSC) means discrepancies — short picks, damaged stock, wrong batch — are captured inside the RF flow and routed for resolution before the handling unit ever reaches staging. A system-directed verification step at packing for the highest-risk SKUs and key accounts adds a final safety net. Errors get found in the warehouse — not in a customer complaint.
5. Visibility for the people running the floor. Shift leads working from the Warehouse Monitor, with error and exception views by zone, shift, and SKU, can spot a bin generating repeated discrepancies the same day — and fix the cause (a mislabeled bin, a slotting issue) instead of blaming whoever picked there last.
And one final layer that surprises most operations teams: retraining people on the new system — not on “being careful.” Careful was never the problem. When the RF flow guides every picker through the same validated steps, the newest hire picks with the same accuracy as the ten-year veteran. Because at that point, accuracy is no longer a skill.
It’s a system property.
A transformation like this typically runs in phases over 8–10 weeks — zone by zone, with no big-bang disruption and no downtime, while the warehouse keeps shipping.
The Result — What “Fixed for Good” Actually Looks Like
When picking accuracy is fixed at the system level, the pattern of results is consistent:
Error rates fall from the ~1–1.5% range to well under 0.2% — and, more importantly, they stay there. Not because of a campaign, but because the system enforces accuracy on every single pick.
Most remaining errors get caught inside the warehouse by exception handling — before anything ships, before any customer notices.
Chargebacks drop dramatically — reductions of 80% and more within a year are realistic once wrong-stock deliveries stop. The people who used to investigate errors full-time shift to work that prevents problems — cycle counting, slotting reviews — instead of documenting them.
New picker ramp-up time drops sharply, often by nearly half, because accuracy no longer depends on experience. The RF flow does the guiding.
And the quieter results are usually the ones leaders value most: pickers stop being blamed. The morning error-review meeting stops existing. Key accounts that had moved volume away start coming back — once they see the numbers.
And nobody says the word “again” on a phone call anymore.
Picking errors aren’t a people problem. They’re a system design problem — and system problems can be fixed for good.
If the pattern in this report feels familiar, SCM Champs offers a Picking Accuracy Diagnostic — an honest, no-obligation look at where your errors are born, inside your RF flows, slotting, and EWM configuration. No pressure. Just clarity.